Grafting energy-harvesting leaves onto the sensornet tree

Yerva, Lohit; Campbell, Bradford; Bansal, Apoorva; Schmid, Thomas; Dutta, Prabal

doi:10.1109/ipsn.2012.6920957

Cited by 21 publications

(29 citation statements)

References 12 publications

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“…In contrast, the Epic mote has only an 802.15.4 low power, low bitrate radio, relying on a standard that has yet to be widely deployed. While some have called for a Wifi-scale deployment of 802.15.4 [21], we consider it unlikely that anyone will build a new networking infrastructure at that scale to support low-power sensor nodes. In addition, when data aggregation is possible Wifi becomes more much more energy-efficient than 802.15.4 [2].…”

Section: Connectivitymentioning

confidence: 97%

The mote is dead

Challen

Haseley

Maiti

et al. 2014

Proceedings of the 15th Workshop on Mobile Computing Systems and Applications

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As the rapid pace of smartphone improvements drives consumer appetites for the latest and greatest devices, the hidden cost is millions of tons of e-waste containing hazardous chemicals that are difficult to dispose of safely. Studies show that smartphone users are replacing their devices every 18 months, almost three times faster than desktop computers [1, 3], producing millions of discarded smartphones each year that end up lying in desk drawers, buried in landfills, or shipped to third-world countries where they are burned to extract precious metals, a process that damages both the health of those involved and the environment.Fortunately, the capabilities of discarded smartphones make them ideal for reuse. Instead of ending up in a landfill, a discarded smartphone could be integrated into a home security system or transformed into a health care device for the elderly. In this paper, we evaluate using discarded smartphones to replace traditional sensor network "motes". Compared with motes, discarded devices have many advantages: price, performance, connectivity, interfaces, and ease of programming. While the main question is whether their energy consumption is low enough to enable harvesting solutions to allow continuous operation, we present preliminary results indicating that this may be possible.

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Section: Connectivitymentioning

confidence: 97%

The mote is dead

Challen

Haseley

Maiti

et al. 2014

Proceedings of the 15th Workshop on Mobile Computing Systems and Applications

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“…Typical for such a case is energyharvesting sensornet, in which nodes are powered by environmental energy [28,29]. In energy-harvesting sensornets, some nodes have higher energy harvesting rates than others, and then they can keep awake for longer time-affording higher duty cycle.…”

Section: Motivationsmentioning

confidence: 99%

Data collection in sensornets with heterogeneous duty cycles: pursuit of efficient opportunity

Shang

Chen

Sun

et al. 2018

J Wireless Com Network

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For sensornets with heterogeneous duty cycles, sensor nodes wake up with different sleeping periods, which combined with unreliable links, making it very challenging to enhance the network performance. This paper presents a new opportunistic routing protocol, called EOF (Efficient Opportunistic Forwarding), which mainly involves a forwarding metric that can efficiently exploit the single-hop forwarding opportunity and a delay-aware forwarder selection scheme. Different from previous opportunistic routings for sensornets, EOF comprehensively considers the effect of heterogeneous duty cycles and link unreliability on the overall network performance. The experimental results show that compared to the state-of-the-art protocol, EOF can achieve better overall network performance with almost identical energy cost, especially when it is applied to the sensornet with significant heterogeneity of duty cycle.

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“…To measure lighting we use a custom solar panel based energy-harvesting power supply from Yerva's design [3] as shown in Figure 2(c). By attaching these sensors near ceiling lighting fixtures we can detect when lights are on and their relative brightness.…”

Section: Power Proportional Sensorsmentioning

confidence: 99%

Disambiguating household energy-harvesting energy meter data streams

Campbell

DeBruin

Dutta

2013

Proceedings of the 11th ACM Conference on Embedded Networked Sensor Systems

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Obtaining a detailed, whole-house breakdown of energy usage would allow for homeowners to better understand their energy consumption and opportunities for energy savings. Current solutions are either too course-grained, too difficult to deploy, not networked, or offer incomplete coverage of hard to meter items, such as ceiling lights. We demonstrate a wirelessly networked, energy-harvesting power metering system that draws zero standby power and is power proportional to the load it is metering.The system is comprised of three different meters: one for plugged in loads, one for panel level circuits, and one for hard to sense loads, such as ceiling lights. Each meter harvests energy proportionally to the load its measuring and powers a sensor node intermittently. At each activation the node increments a counter and periodically the node transmits a wireless packet containing that counter. Because the activation rate is proportional to the power draw of the load, the packet receiver can determine the power of the load based on the wakeup rate.Together, these sensors create multiple data streams which are aggregated by a receiver. When combined with a calibrated meter that measures total household power, our system can iteratively determine the contributions of each load to the total power usage, allowing users to gain a broad yet detailed view of their energy consumption and costs.

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Grafting energy-harvesting leaves onto the sensornet tree

Cited by 21 publications

References 12 publications

The mote is dead

The mote is dead

Data collection in sensornets with heterogeneous duty cycles: pursuit of efficient opportunity

Disambiguating household energy-harvesting energy meter data streams

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